Defining User Reactions Using AI – UX Collective

Determining a persona’s intrinsic value is a herculean feat at best. By asking key questions about the state holder and their users in order to examine needs, wants and desired outcomes, AI systems now provide a unbiased based approach that considers:

How do we make sure we are building products powered by AI that takes in consideration human behavior?

How do we make sure our users/stakeholders are represented accurately in this product?

My perception is not of the world, but of my brain’s model of the world.

One of the key factors to examine is the emotional analysis of the user or stakeholders being tested. AI uses image metadata that collects data on how a person communicates verbally and non-verbally to understand mood or attitude. The technology, also referred to as emotional analytics, provides insights into how a customer perceives a product, the presentation of a product or their interactions with a customer service representative.

Why Does It Matter?

It comes down to a unbiased approach. Artificial emotional intelligence allows for the ability to ameliorate your own cultural, emotional, physical and spiritual persona and replace it with valuable data.

Human beings, viewed as behaving systems, are quite simple. The apparent complexity of our behavior over time is largely a reflection of the complexity of the environment in which we find ourselves. ― Herbert A. Simon, The Sciences of the Artificial

Artificial emotion intelligent data focuses our decisions surrounding each component of the product and adds a layer of unbiased, real-world considerations to any conversation.